Background: Attention to several clinical issues simultaneously and timeliness of proper treatment is of prime importance in Emergency Medicine. Simulation Based Training is a growing trend for clinical resident training which has been proposed for enhancing of residents multi-tasking abilities. The Simulation Module for Assessment of Resident’s Targeted Event Response is a methodology which de...

In the case of widely-uncertain non-linear system control design, it was very difficult to design a single controller to overcome control design specifications in all of its dynamical characteristics uncertainties. To resolve these problems, a new design method of robust fuzzy control proposed. The solution offered was by creating multiple soft-switching with Takagi-Sugeno fuzzy model for optim...

A recent mode-coupling theory of higher-order correlation functions is tested on a simple hard-sphere fluid system at intermediate densities. Multiple-point and multiple-time correlation functions of the densities of conserved variables are calculated in the hydrodynamic limit and compared to results obtained from event-based molecular dynamics simulations. It is demonstrated that the mode-coup...

in this paper we will determine the multiple point manifolds of certain self-transverse immersions in euclidean spaces. following the triple points, these immersions have a double point self-intersection set which is the image of an immersion of a smooth 5-dimensional manifold, cobordant to dold manifold $v^5$ or a boundary. we will show there is an immersion of $s^7times p^2$ in $mathbb{r}^{13...

In most petroleum and geoscience studies, the flow is controlled by the connectivity of extreme permeabilities (both high and low) associated with multiple-scale geological patterns. Hence, it is critical to model such patterns in order to predict successfully the flow performance. The new multiple-point geostatistical algorithm (FILTERSIM), which can handle both categorical and continuous vari...

Offshore wind is expected to play a key role in future energy systems. Wind resource studies often call for long-term and spatially consistent datasets assess the potential. Despite vast amount of available data sources, no current means can provide relevant sub-daily information at fine spatial scale (~1 km). Synthetic aperture radar (SAR) delivers field estimates over ocean resolution but suf...

in this paper, a bayesian approach is proposed for shift point detection in an inverse gaussian distribution. in this study, the mean parameter of inverse gaussian distribution is assumed to be constant and shift points in shape parameter is considered. first the posterior distribution of shape parameter is obtained. then the bayes estimators are derived under a class of priors and using variou...